Senior Software Engineer (Machine Learning )
Tasks
- Architect machine learning systems
- Automate model retraining and versioning
- Bridge offline metrics to business KPIs
- Build MLops pipelines
- Build machine learning models
- Create offline and online feature pipelines
- Deploy low latency inference models
- Design feature stores
- Develop real-time inference APIs
- Implement CI CD for machine learning
- Implement deep learning architectures
- Monitor data drift and concept drift
- Package models for production serving
- Process large datasets for feature extraction
- Run A B and multivariate testing
- Select offline metrics
- Set up shadow deployments
- Train and tune supervised learning models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | CI/CD | CatBoost | Concept drift | Data Drift | Data Lineage | Deep learning | Factorization machines | Feature Engineering | Feature Stores | Flink | High Availability | Hypothesis Testing | Inference Server | Kafka | LightGBM | Microservices | ONNX | Object-Oriented | Object-oriented programming | PyTorch | Python | Ray | SQL | Supervised Learning | TensorFlow | TensorRT | Triton Inference | Triton Inference Server | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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